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      Changing social inequalities in smoking, obesity and cause-specific mortality: Cross-national comparisons using compass typology

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          Abstract

          Background

          In many countries smoking rates have declined and obesity rates have increased, and social inequalities in each have varied over time. At the same time, mortality has declined in most high-income countries, but gaps by educational qualification persist—at least partially due to differential smoking and obesity distributions. This study uses a compass typology to simultaneously examine the magnitude and trends in educational inequalities across multiple countries in: a) smoking and obesity; b) smoking-related mortality and c) cause-specific mortality.

          Methods

          Smoking prevalence, obesity prevalence and cause-specific mortality rates (35–79 year olds by sex) in nine European countries and New Zealand were sourced from between 1980 and 2010. We calculated relative and absolute inequalities in prevalence and mortality (relative and slope indices of inequality, respectively RII, SII) by highest educational qualification. Countries were then plotted on a compass typology which simultaneously examines trends in the population average rates or odds on the x-axis, RII on the Y-axis, and contour lines depicting SII.

          Findings

          Smoking and obesity. Smoking prevalence in men decreased over time but relative inequalities increased. For women there were fewer declines in smoking prevalence and relative inequalities tended to increase. Obesity prevalence in men and women increased over time with a mixed picture of increasing absolute and sometimes relative inequalities. Absolute inequalities in obesity increased for men and women in Czech Republic, France, New Zealand, Norway, for women in Austria and Lithuania, and for men in Finland.

          Cause-specific mortality. Average rates of smoking-related mortality were generally stable or increasing for women, accompanied by increasing relative inequalities. For men, average rates were stable or decreasing, but relative inequalities increased over time. Cardiovascular disease, cancer, and external injury rates generally decreased over time, and relative inequalities increased. In Eastern European countries mortality started declining later compared to other countries, however it remained at higher levels; and absolute inequalities in mortality increased whereas they were more stable elsewhere.

          Conclusions

          Tobacco control remains vital for addressing social inequalities in health by education, and focus on the least educated is required to address increasing relative inequalities. Increasing obesity in all countries and increasing absolute obesity inequalities in several countries is concerning for future potential health impacts. Obesity prevention may be increasingly important for addressing health inequalities in some settings. The compass typology was useful to compare trends in inequalities because it simultaneously tracks changes in rates/odds, and absolute and relative inequality measures.

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          Most cited references26

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          The nutrition transition and its health implications in lower-income countries.

          This article reviews information on the rapid changes in diet, activity and body composition that lower- and middle-income countries are undergoing and then examines some of the potential health implications of this transition. Data came from numerous countries and also from national food balance (FAOSTAT) and World Bank sources. Nationally representative and nationwide surveys are used. The nationally representative Russian Longitudinal Monitoring Surveys from 1992-96 and the nationwide China Health and Nutrition Survey from 1989-93 are examined in detail. Rapid changes in the structure of diet, in particular associated with urbanization, are documented. In addition, large changes in occupation types are documented. These are linked with rapid increases in adult obesity in Latin America and Asia. Some of the potential implications for adult health are noted. The rapid changes in diet, activity and obesity that are facing billions of residents of lower- and middle-income countries are cause for great concern. Linked with these changes will be a rapid increase in chronic diseases. Little to date has been done at the national level to address these problems.
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            Trends in smoking behaviour between 1985 and 2000 in nine European countries by education.

            To examine whether trends in smoking behaviour in Western Europe between 1985 and 2000 differed by education group. Data of smoking behaviour and education level were obtained from national cross sectional surveys conducted between 1985 and 2000 (a period characterised by intense tobacco control policies) and analysed for countries combined and each country separately. Annual trends in smoking prevalence and the quantity of cigarettes consumed by smokers were summarised for each education level. Education inequalities in smoking were examined at four time points. Data were obtained from nine European countries: Norway, Sweden, Denmark, Finland, the United Kingdom, the Netherlands, Germany, Italy, and Spain. 451 386 non-institutionalised men and women 25-79 years old. Smoking status, daily quantity of cigarettes consumed by smokers. Combined country analyses showed greater declines in smoking and tobacco consumption among tertiary educated men and women compared with their less educated counterparts. In country specific analyses, elementary educated British men and women, and elementary educated Italian men showed greater declines in smoking than their more educated counterparts. Among Swedish, Finnish, Danish, German, Italian, and Spanish women, greater declines were seen among more educated groups. Widening education inequalities in smoking related diseases may be seen in several European countries in the future. More insight into effective strategies specifically targeting the smoking behaviour of low educated groups may be gained from examining the tobacco control policies of the UK and Italy over this period.
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              Changes in mortality inequalities over two decades: register based study of European countries

              Objective To determine whether government efforts in reducing inequalities in health in European countries have actually made a difference to mortality inequalities by socioeconomic group. Design Register based study. Data source Mortality data by level of education and occupational class in the period 1990-2010, usually collected in a census linked longitudinal study design. We compared changes in mortality between the lowest and highest socioeconomic groups, and calculated their effect on absolute and relative inequalities in mortality (measured as rate differences and rate ratios, respectively). Setting All European countries for which data on socioeconomic inequalities in mortality were available for the approximate period between years 1990 and 2010. These included Finland, Norway, Sweden, Scotland, England and Wales (data applied to both together), France, Switzerland, Spain (Barcelona), Italy (Turin), Slovenia, and Lithuania. Results Substantial mortality declines occurred in lower socioeconomic groups in most European countries covered by this study. Relative inequalities in mortality widened almost universally, because percentage declines were usually smaller in lower socioeconomic groups. However, as absolute declines were often smaller in higher socioeconomic groups, absolute inequalities narrowed by up to 35%, particularly among men. Narrowing was partly driven by ischaemic heart disease, smoking related causes, and causes amenable to medical intervention. Progress in reducing absolute inequalities was greatest in Spain (Barcelona), Scotland, England and Wales, and Italy (Turin), and absent in Finland and Norway. More detailed studies preferably using individual level data are necessary to identify the causes of these variations. Conclusions Over the past two decades, trends in inequalities in mortality have been more favourable in most European countries than is commonly assumed. Absolute inequalities have decreased in several countries, probably more as a side effect of population wide behavioural changes and improvements in prevention and treatment, than as an effect of policies explicitly aimed at reducing health inequalities.
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                Author and article information

                Contributors
                Role: Data curationRole: Funding acquisitionRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                10 July 2020
                2020
                : 15
                : 7
                : e0232971
                Affiliations
                [1 ] Department of Public Health, University of Otago, Dunedin, New Zealand
                [2 ] Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
                [3 ] Department of Public Health, University of Otago Wellington, Wellington, New Zealand
                [4 ] Faculty of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania
                [5 ] Stockholm Centre for Health and Social Change, Södertörn University, Huddinge, Sweden
                [6 ] Department of Epidemiology and Biostatistics, the National Institute for Health Development, Estonia, Sweden
                [7 ] Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
                [8 ] Faculty of Science, Charles University, Prague, Czech Republic
                [9 ] Department of Public Health, Erasmus MC, Rotterdam, Netherlands
                Sciensano, BELGIUM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-6995-4369
                http://orcid.org/0000-0003-4453-4760
                http://orcid.org/0000-0001-9374-1438
                http://orcid.org/0000-0002-8954-6557
                Article
                PONE-D-19-33671
                10.1371/journal.pone.0232971
                7351173
                32649731
                3b53dd34-e845-4ac1-b93e-7705de9f78b9
                © 2020 Teng et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 December 2019
                : 24 April 2020
                Page count
                Figures: 3, Tables: 1, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100008247, University of Otago;
                Award ID: 01/01/2017
                Award Recipient : Andrea M Teng
                Funded by: European Commission Research and Innovation Directorate General
                Award ID: FP7-CP-FP grant no. 278511
                Award Recipient :
                AT was funded for this study by the University of Otago, Wellington (Dean’s Grant). This study was supported by a grant (FP7-CP-FP grant no. 278511) from the European Commission Research and Innovation Directorate General, as part of the “Developing methodologies to reduce inequalities in the determinants of health” (DEMETRIQ) project. Funders played no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Engineering and Technology
                Equipment
                Measurement Equipment
                Compasses
                Biology and Life Sciences
                Psychology
                Behavior
                Habits
                Smoking Habits
                Social Sciences
                Psychology
                Behavior
                Habits
                Smoking Habits
                People and Places
                Geographical Locations
                Europe
                People and places
                Geographical locations
                Oceania
                New Zealand
                People and places
                Geographical locations
                Europe
                European Union
                Estonia
                People and Places
                Geographical Locations
                Europe
                Norway
                Custom metadata
                Study findings data are available in S2 and S3 supplementary files. Underlying datasets may be available on request depending on individual country requirements. Data cannot be shared publicly because of individual country restrictions. Data are available from each country for researchers who meet the criteria for access to confidential data. Contact information is in Table S5d. The authors had no special access privileges to the data others would not have.

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